Modelagem

Row

R2 Modelo lm: mpg ~ wt + disp

78.09

RMSE

2.7765

R2 Modelo lm: mpg ~ wt * disp

85.01

RMSE

2.2964

Row

Valores previstos x realizados

Residuos

Valores previstos x realizados

Residuos

Row

Summary Model 1


Call:
lm(formula = mpg ~ wt + disp, data = df)

Residuals:
    Min      1Q  Median      3Q     Max 
-3.4087 -2.3243 -0.7683  1.7721  6.3484 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 34.96055    2.16454  16.151 4.91e-16 ***
wt          -3.35082    1.16413  -2.878  0.00743 ** 
disp        -0.01773    0.00919  -1.929  0.06362 .  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 2.917 on 29 degrees of freedom
Multiple R-squared:  0.7809,    Adjusted R-squared:  0.7658 
F-statistic: 51.69 on 2 and 29 DF,  p-value: 2.744e-10

Summary Model 2


Call:
lm(formula = mpg ~ wt * disp, data = df)

Residuals:
   Min     1Q Median     3Q    Max 
-3.267 -1.677 -0.836  1.351  5.017 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 44.081998   3.123063  14.115 2.96e-14 ***
wt          -6.495680   1.313383  -4.946 3.22e-05 ***
disp        -0.056358   0.013239  -4.257  0.00021 ***
wt:disp      0.011705   0.003255   3.596  0.00123 ** 
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 2.455 on 28 degrees of freedom
Multiple R-squared:  0.8501,    Adjusted R-squared:  0.8341 
F-statistic: 52.95 on 3 and 28 DF,  p-value: 1.158e-11

Analise Exploratória

Row

Distribuição de frequência por MPG

Boxplot do atributo MPG por CYL

Relação entre o atributo MPG x WT

Análise de Correlação

Row

Estatística Descritiva

Atributo mean sd median trimmed mad min max range skew kurtosis se
mpg 20.090625 6.0269481 19.200 19.696154 5.4114900 10.400 33.900 23.500 0.6106550 -0.3727660 1.0654240
cyl* 2.093750 0.8929608 2.000 2.115385 1.4826000 1.000 3.000 2.000 -0.1746119 -1.7621198 0.1578547
disp 230.721875 123.9386938 196.300 222.523077 140.4763500 71.100 472.000 400.900 0.3816570 -1.2072119 21.9094727
hp 146.687500 68.5628685 123.000 141.192308 77.0952000 52.000 335.000 283.000 0.7260237 -0.1355511 12.1203173
drat 3.596563 0.5346787 3.695 3.579231 0.7042350 2.760 4.930 2.170 0.2659039 -0.7147006 0.0945187
wt 3.217250 0.9784574 3.325 3.152692 0.7672455 1.513 5.424 3.911 0.4231465 -0.0227108 0.1729685
qsec 17.848750 1.7869432 17.710 17.827692 1.4158830 14.500 22.900 8.400 0.3690453 0.3351142 0.3158899
vs* 1.437500 0.5040161 1.000 1.423077 0.0000000 1.000 2.000 1.000 0.2402577 -2.0019376 0.0890983
am* 1.406250 0.4989909 1.000 1.384615 0.0000000 1.000 2.000 1.000 0.3640159 -1.9247414 0.0882100
gear* 1.687500 0.7378041 2.000 1.615385 1.4826000 1.000 3.000 2.000 0.5288545 -1.0697507 0.1304266
carb* 2.718750 1.3733494 2.000 2.653846 1.4826000 1.000 6.000 5.000 0.3504105 -0.9467971 0.2427762

Dataset

Dataset MTCARS